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Gene prediction in the immunoglobulin loci

The V(D)J recombination process rearranges the variable (V), diversity (D), and joining (J) genes in the immunoglobulin (IG) loci to generate antibody repertoires. Annotation of these loci across various species and predicting the V, D, and J genes (IG genes) are critical for studies of the adaptive...

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Autores principales: Sirupurapu, Vikram, Safonova, Yana, Pevzner, Pavel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248892/
https://www.ncbi.nlm.nih.gov/pubmed/35545447
http://dx.doi.org/10.1101/gr.276676.122
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author Sirupurapu, Vikram
Safonova, Yana
Pevzner, Pavel A.
author_facet Sirupurapu, Vikram
Safonova, Yana
Pevzner, Pavel A.
author_sort Sirupurapu, Vikram
collection PubMed
description The V(D)J recombination process rearranges the variable (V), diversity (D), and joining (J) genes in the immunoglobulin (IG) loci to generate antibody repertoires. Annotation of these loci across various species and predicting the V, D, and J genes (IG genes) are critical for studies of the adaptive immune system. However, because the standard gene finding algorithms are not suitable for predicting IG genes, they have been semimanually annotated in very few species. We developed the IGDetective algorithm for predicting IG genes and applied it to species with the assembled IG loci. IGDetective generated the first large collection of IG genes across many species and enabled their evolutionary analysis, including the analysis of the “bat IG diversity” hypothesis. This analysis revealed extremely conserved V genes in evolutionary distant species, indicating that these genes may be subjected to the same selective pressure, for example, pressure driven by common pathogens. IGDetective also revealed extremely diverged V genes and a new family of evolutionary conserved V genes in bats with unusual noncanonical cysteines. Moreover, unlike all other previously reported antibodies, these cysteines are located within complementarity-determining regions. Because cysteines form disulfide bonds, we hypothesize that these cysteine-rich V genes might generate antibodies with noncanonical conformations and could potentially form a unique part of the immune repertoire in bats. We also analyzed the diversity landscape of the recombination signal sequences and revealed their features that trigger the high/low usage of the IG genes.
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spelling pubmed-92488922022-12-01 Gene prediction in the immunoglobulin loci Sirupurapu, Vikram Safonova, Yana Pevzner, Pavel A. Genome Res Method The V(D)J recombination process rearranges the variable (V), diversity (D), and joining (J) genes in the immunoglobulin (IG) loci to generate antibody repertoires. Annotation of these loci across various species and predicting the V, D, and J genes (IG genes) are critical for studies of the adaptive immune system. However, because the standard gene finding algorithms are not suitable for predicting IG genes, they have been semimanually annotated in very few species. We developed the IGDetective algorithm for predicting IG genes and applied it to species with the assembled IG loci. IGDetective generated the first large collection of IG genes across many species and enabled their evolutionary analysis, including the analysis of the “bat IG diversity” hypothesis. This analysis revealed extremely conserved V genes in evolutionary distant species, indicating that these genes may be subjected to the same selective pressure, for example, pressure driven by common pathogens. IGDetective also revealed extremely diverged V genes and a new family of evolutionary conserved V genes in bats with unusual noncanonical cysteines. Moreover, unlike all other previously reported antibodies, these cysteines are located within complementarity-determining regions. Because cysteines form disulfide bonds, we hypothesize that these cysteine-rich V genes might generate antibodies with noncanonical conformations and could potentially form a unique part of the immune repertoire in bats. We also analyzed the diversity landscape of the recombination signal sequences and revealed their features that trigger the high/low usage of the IG genes. Cold Spring Harbor Laboratory Press 2022-06 /pmc/articles/PMC9248892/ /pubmed/35545447 http://dx.doi.org/10.1101/gr.276676.122 Text en © 2022 Sirupurapu et al.; Published by Cold Spring Harbor Laboratory Press https://creativecommons.org/licenses/by-nc/4.0/This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see https://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Method
Sirupurapu, Vikram
Safonova, Yana
Pevzner, Pavel A.
Gene prediction in the immunoglobulin loci
title Gene prediction in the immunoglobulin loci
title_full Gene prediction in the immunoglobulin loci
title_fullStr Gene prediction in the immunoglobulin loci
title_full_unstemmed Gene prediction in the immunoglobulin loci
title_short Gene prediction in the immunoglobulin loci
title_sort gene prediction in the immunoglobulin loci
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248892/
https://www.ncbi.nlm.nih.gov/pubmed/35545447
http://dx.doi.org/10.1101/gr.276676.122
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